Execute inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to "inspect agent engine" or "validate depl... Trigger with relevant phrases based on skill purpose.
4.0
Rating
0
Installs
AI & LLM
Category
The skill addresses a specialized domain (Vertex AI Agent Engine inspection) that could be valuable, but the SKILL.md is extremely generic and templated. The description mentions specific capabilities (Code Execution Sandbox, Memory Bank, A2A protocol, security posture, production readiness scores) but SKILL.md provides no concrete guidance on how to invoke these inspections or what parameters are needed. The structure is reasonable with supporting files referenced (errors.md, examples.md, scripts), and the presence of check-security.py and inspect-agent.sh suggests actual implementation exists. However, the main documentation fails to explain what inputs are required, what the inspection workflow entails, or how a CLI agent would actually use this skill beyond generic 'invoke when triggered' instructions. Novelty is moderate - while Vertex AI inspection is specialized, without clearer methodology it's unclear how much this simplifies versus running gcloud commands directly.
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